SurrealDB is an end-to-end cloud native database for web, mobile, serverless, jamstack, backend, and traditional applications. SurrealDB reduces the development time of modern applications by simplifying your database and API stack, removing the need for most server-side components, allowing you to build secure, performant apps quicker and cheaper. SurrealDB acts as both a database and a modern, realtime, collaborative API backend layer. SurrealDB can run as a single server or in a highly-available, highly-scalable distributed mode - with support for SQL querying from client devices, GraphQL, ACID transactions, WebSocket connections, structured and unstructured data, graph querying, full-text indexing, geospatial querying, and row-by-row permissions-based access.
#rust #cloud #native #database #db #nosql #serverless #distributed #daas #surrealdb
#rust #cloud #native #database #db #nosql #serverless #distributed #daas #surrealdb
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Salsa is a generic framework for on-demand, incrementalized computation. Inspired by adapton, glimmer, and rustc's query system.
#rust #incrementalized #computation #framework
#rust #incrementalized #computation #framework
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Fluvio is a high-performance distributed data streaming platform that's written in Rust, built to make it easy to run real-time applications.
#rust #streaming #analytics #cloud #native
#rust #streaming #analytics #cloud #native
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snarkOS is a decentralized operating system for private applications. It forms the backbone of Aleo and enables applications to verify and store state in a publicly verifiable manner.
#rust #os #cryptography #blockchain
#rust #os #cryptography #blockchain
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CustomTkinter is a python UI-library based on Tkinter, which provides new, modern and fully customizable widgets. They are created and used like normal Tkinter widgets and can also be used in combination with normal Tkinter elements. The widgets and the window colors either adapt to the system appearance or the manually set mode ('light', 'dark'), and all CustomTkinter widgets and windows support HighDPI scaling (Windows, macOS). With CustomTkinter you'll get a consistent and modern look across all desktop platforms.
#python #tkinter #gui #ui #macos #linux #windows
#python #tkinter #gui #ui #macos #linux #windows
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Nbbβs main goal is to make it easy to get started with ad hoc CLJS scripting on Node.js.
Additional goals and features are:
β’ Fast startup without relying on a custom version of Node.js.
β’ Small artifact (current size is around 1.2MB).
β’ First class macros.
β’ Support building small TUI apps using Reagent.
β’ Complement babashka with libraries from the Node.js ecosystem.
#nodejs #clojure #clojurescript
Additional goals and features are:
β’ Fast startup without relying on a custom version of Node.js.
β’ Small artifact (current size is around 1.2MB).
β’ First class macros.
β’ Support building small TUI apps using Reagent.
β’ Complement babashka with libraries from the Node.js ecosystem.
#nodejs #clojure #clojurescript
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Jepsen is a Clojure library. A test is a Clojure program which uses the Jepsen library to set up a distributed system, run a bunch of operations against that system, and verify that the history of those operations makes sense. Jepsen has been used to verify everything from eventually-consistent commutative databases to linearizable coordination systems to distributed task schedulers. It can also generate graphs of performance and availability, helping you characterize how a system responds to different faults.
#clojure #distributed #systems
#clojure #distributed #systems
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Beginner's TypeScript Tutorial is an interactive #TypeScript tutorial for beginners.
#typescript #ts #tutorial
#typescript #ts #tutorial
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Hex Fiend β is a fast and clever open source hex editor for macOS.
- Insert, delete, rearrange. Hex Fiend does not limit you to in-place changes like some hex editors.
- Work with huge files. Hex Fiend can handle as big a file as youβre able to create. Itβs been tested on files as large as 118 GB.
- Small footprint. Hex Fiend does not keep your files in memory. You wonβt dread launching or working with Hex Fiend even on low-RAM machines.
- Fast. Open a huge file, scroll around, copy and paste, all instantly. Find what youβre looking for with fast searching.
- Binary diff. Hex Fiend can show the differences between files, taking into account insertions or deletions. Simply open two files in Hex Fiend and then use the File > Compare menus.
- Smart saving. Hex Fiend knows not to waste time overwriting the parts of your files that havenβt changed, and never needs temporary disk space.
#objectivec #macos #hex #editor
- Insert, delete, rearrange. Hex Fiend does not limit you to in-place changes like some hex editors.
- Work with huge files. Hex Fiend can handle as big a file as youβre able to create. Itβs been tested on files as large as 118 GB.
- Small footprint. Hex Fiend does not keep your files in memory. You wonβt dread launching or working with Hex Fiend even on low-RAM machines.
- Fast. Open a huge file, scroll around, copy and paste, all instantly. Find what youβre looking for with fast searching.
- Binary diff. Hex Fiend can show the differences between files, taking into account insertions or deletions. Simply open two files in Hex Fiend and then use the File > Compare menus.
- Smart saving. Hex Fiend knows not to waste time overwriting the parts of your files that havenβt changed, and never needs temporary disk space.
#objectivec #macos #hex #editor
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httpie is all the user-friendliness of our Terminal version, now wrapped up in a sleek graphical interface.
- Interact painlessly with APIs
- Organize your work in spaces, collections, and tabs
- Parametrize requests with variables and environments
- Work across devices with auto-save and realtime sync
- Build and preview requests without sending them
- Use the app offline and without an account
#http #client #python #desktop #cli #web #macos #windows #linux #rest #api
- Interact painlessly with APIs
- Organize your work in spaces, collections, and tabs
- Parametrize requests with variables and environments
- Work across devices with auto-save and realtime sync
- Build and preview requests without sending them
- Use the app offline and without an account
#http #client #python #desktop #cli #web #macos #windows #linux #rest #api
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Stable Diffusion is a latent text-to-image diffusion model. Thanks to a generous compute donation from Stability AI and support from LAION, we were able to train a Latent Diffusion Model on 512x512 images from a subset of the LAION-5B database. Similar to Google's Imagen, this model uses a frozen CLIP ViT-L/14 text encoder to condition the model on text prompts. With its 860M UNet and 123M text encoder, the model is relatively lightweight and runs on a GPU with at least 10GB VRAM. See this section below and the model card.
#python #ml #dl #text2image #diffusion #model #torch #torchvision
#python #ml #dl #text2image #diffusion #model #torch #torchvision
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Etherpad is a real-time collaborative editor scalable to thousands of simultaneous real time users. It provides full data export capabilities, and runs on your server, under your control.
#javascript #js #document #editor #collaborative #realtime #web #pdf #word
#javascript #js #document #editor #collaborative #realtime #web #pdf #word
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Coroot is a monitoring and troubleshooting tool for microservice architectures.
#go #golang #javascript #js #monitoring #microservice
#go #golang #javascript #js #monitoring #microservice
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Generating secrets in Clojure.
Generating secrets is a very important part of any data-sensitive application. In this article, Iβm going to tell you about a low-level library that helps to generate secrets in Clojure.
If youβre familiar with Python, you might have heard of secrets module from Pythonβs standard library. Well, the secrets.clj is just like Pythonβs secrets, but for Clojure.
Read it: https://isaak.dev/2022/10/generating-secrets-in-clojure
#clojure #jvm #secrets #password #tokens #rng #csprng
Generating secrets is a very important part of any data-sensitive application. In this article, Iβm going to tell you about a low-level library that helps to generate secrets in Clojure.
If youβre familiar with Python, you might have heard of secrets module from Pythonβs standard library. Well, the secrets.clj is just like Pythonβs secrets, but for Clojure.
Read it: https://isaak.dev/2022/10/generating-secrets-in-clojure
#clojure #jvm #secrets #password #tokens #rng #csprng
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Calva: A Clojure & ClojureScript IDE in Visual Studio Code.
Calva is an integrated, REPL powered, development environment for enjoyable and productive Clojure and ClojureScript programming in Visual Studio Code.
It includes:
- inline code evaluation
- structural editing
- code formatting
- code navigation
- a debugger
- linting
- syntax highlighting
- Clojure aware rainbow brackets
- a test runner
- refactoring support
- and much more.
#clojure #clojurescript #vscode #vsc #calva #ide #repl
Calva is an integrated, REPL powered, development environment for enjoyable and productive Clojure and ClojureScript programming in Visual Studio Code.
It includes:
- inline code evaluation
- structural editing
- code formatting
- code navigation
- a debugger
- linting
- syntax highlighting
- Clojure aware rainbow brackets
- a test runner
- refactoring support
- and much more.
#clojure #clojurescript #vscode #vsc #calva #ide #repl
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Parsr is a minimal-footprint document (image, pdf, docx, eml) cleaning, parsing and extraction toolchain which generates readily available, organized and usable data in JSON, Markdown (MD), CSV/Pandas DF or TXT formats.
#js #javascript #pdf #document
#js #javascript #pdf #document
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How async/await works in Python.
Code written in the async/await style looks like regular synchronous code but works very differently. To understand how it works, one should be familiar with many non-trivial concepts including concurrency, parallelism, event loops, I/O multiplexing, asynchrony, cooperative multitasking and coroutines. Python's implementation of async/await adds even more concepts to this list: generators, generator-based coroutines, native coroutines, yield and yield from. Because of this complexity, many Python programmers that use async/await do not realize how it actually works. I believe that it should not be the case. The async/await pattern can be explained in a simple manner if you start from the ground up. And that's what we're going to do today.
Author: Victor Skvortsov.
#article #python #async #await #concurrency #parallelism #event #io #multiplexing #multitasking
Code written in the async/await style looks like regular synchronous code but works very differently. To understand how it works, one should be familiar with many non-trivial concepts including concurrency, parallelism, event loops, I/O multiplexing, asynchrony, cooperative multitasking and coroutines. Python's implementation of async/await adds even more concepts to this list: generators, generator-based coroutines, native coroutines, yield and yield from. Because of this complexity, many Python programmers that use async/await do not realize how it actually works. I believe that it should not be the case. The async/await pattern can be explained in a simple manner if you start from the ground up. And that's what we're going to do today.
Author: Victor Skvortsov.
#article #python #async #await #concurrency #parallelism #event #io #multiplexing #multitasking
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Beej's Guide to Network Programming.
Hey! Socket programming got you down? Is this stuff just a little too difficult to figure out from the man pages? You want to do cool Internet programming, but you donβt have time to wade through a gob of structs trying to figure out if you have to call
Well, guess what! Iβve already done this nasty business, and Iβm dying to share the information with everyone! Youβve come to the right place. This document should give the average competent C programmer the edge s/he needs to get a grip on this networking noise.
Author: Brian βBeej Jorgensenβ Hall
#book #network #sockets #tcp #ip #udp #ipv4 #ipv6
Hey! Socket programming got you down? Is this stuff just a little too difficult to figure out from the man pages? You want to do cool Internet programming, but you donβt have time to wade through a gob of structs trying to figure out if you have to call
bind() before you connect(), etc., etc.Well, guess what! Iβve already done this nasty business, and Iβm dying to share the information with everyone! Youβve come to the right place. This document should give the average competent C programmer the edge s/he needs to get a grip on this networking noise.
Author: Brian βBeej Jorgensenβ Hall
#book #network #sockets #tcp #ip #udp #ipv4 #ipv6
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